基于空域相关阈值滤波的雾气激光信号处理算法

发布时间：2018-05-07 17:57

本文选题：空域相关阈值滤波 + 空域相关滤波　；参考：《北京理工大学学报》2017年03期

【摘要】：针对雾气环境下微弱激光信号特征提取困难,在研究小波空域相关滤波算法基础上,提出了小波空域相关阈值滤波方法.阐述了小波空域相关阈值滤波的思想和原理,特别研究了滤波阈值选取的方法,比较了空域相关阈值滤波与空域相关滤波的滤波效果.结果表明对雾气环境下的激光信号,空域相关阈值滤波具有最好的滤波效果.在不同雾气浓度和不同信号信噪比情况下的实验结果表明,空域相关阈值滤波能够在保持激光回波信号特征的前提下有效地抑制大部分噪声,更适于雾气环境下微弱激光回波信号处理和特征提取.
[Abstract]:Aiming at the difficulty of feature extraction of weak laser signal in fog environment, a wavelet spatial correlation threshold filtering method is proposed based on the study of wavelet spatial correlation filtering algorithm. This paper expounds the idea and principle of wavelet spatial correlation threshold filtering, especially studies the method of selecting filtering threshold, and compares the filtering effect between spatial correlation threshold filtering and spatial correlation filtering. The results show that the spatial correlation threshold filter has the best filtering effect for the laser signal in fog environment. The experimental results under different fog concentrations and signal signal-to-noise ratio show that the spatial correlation threshold filter can effectively suppress most of the noise while preserving the characteristics of the laser echo signal. It is more suitable for weak laser echo signal processing and feature extraction in fog environment.
【作者单位】：昆明理工大学云南省内燃机重点实验室;
【基金】：国家自然科学基金资助项目(51208239) 云南省科技计划基金资助项目(2012FD013);云南省科技计划人培项目基金资助(14118485)
【分类号】：TN911.7;TN713

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